The role was a causal inference-heavy pricing role. Started with a HR phone screen followed by 4 interviews over two rounds. The first technical round involved foundational causal inference theory questions followed by a pair programming component that involved refactoring ML model code. The final round consisted of 3 interviews that involved classical ML theory, a case study and behavioural questions respectively. The entire process took nearly 6 weeks. I was strung along for a few weeks after the final round by HR before I ultimately got a rejection.

One Hr call, one call with the hiring manager, and then the final round consists of 4 interviews. Overall a good experience. The questions are wrt to the role. Questions go from behavioral to stats, data science to data manipulation and intuitions plus coding (python and SQL).